Results 21 to 30 of about 2,016 (190)
Remote Sensing, 2022 Efficiently and automatically acquiring information on earthquake damage through remote sensing has posed great challenges because the classical methods of detecting houses damaged by destructive earthquakes are often both time consuming and low in ...
Yafei Jing +4 more
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Leaf Segmentation Using Modified YOLOv8-Seg Models
LifeComputer-vision-based plant leaf segmentation technology is of great significance for plant classification, monitoring of plant growth, precision agriculture, and other scientific research.
Peng Wang +6 more
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A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network [PDF]
Scientific ReportsRailway tracks are prone to damage after long-term exposure to harsh environments, posing risks to transportation safety. Traditional manual inspection is inefficient and error-prone, while existing deep learning–based detection models, such as YOLO ...
Yanzhi Pang +10 more
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A collaborative multi-attention network for real-time small object detection in UAV imagery [PDF]
Scientific ReportsTo address the challenges of detecting small objects in unmanned aerial vehicle (UAV) imagery, such as weak feature representation, complex background interference, and high real-time requirements, this paper proposes a Collaborative Multi-Attention ...
Jianxiu Yang, Xiangmei Yue, Liang Wu
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EfficientRDet: An EfficientDet-Based Framework for Precise Ship Detection in Remote Sensing Imagery
Remote SensingDetecting arbitrarily oriented ships in remote sensing images remains challenging due to diverse orientations, complex backgrounds, and scale variations, leading to a struggle in balancing detector accuracy with efficiency.
Weikang Zuo, Shenghui Fang
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IEEE AccessPneumonia remains a significant global health threat, especially in vulnerable populations, and early, accurate diagnosis is critical for effective intervention.
Kerang Cao +3 more
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An Infrared Image Defect Detection Method for Steel Based on Regularized YOLO
SensorsSteel surfaces often display intricate texture patterns that can resemble defects, posing a challenge in accurately identifying actual defects. Therefore, it is crucial to develop a highly robust defect detection model.
Yongqiang Zou, Yugang Fan
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BiFPN-YOLO: One-stage object detection integrating Bi-Directional Feature Pyramid Networks [PDF]
Pattern Recognition, 2023 Object detection is a key component in computer vision research, allowing a system to determine the location and type of object within any given scene.
John Doherty +3 more
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Research on multi object detection in mining face based on FBEC-YOLOv5s
Gong-kuang zidonghua, 2023 A multi object detection algorithm based on FBEC-YOLOv5s is proposed to address the issues of reduced detection precision caused by large object scale spans, severe obstruction between multiple objects, and harsh environments in mining faces.
ZHANG Hui, SU Guoyong, ZHAO Dongyang
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Bridge detection method for HSRRSIs based on YOLOv5 with a decoupled head
International Journal of Digital Earth, 2023 The different imaging conditions of high spatial resolution remote sensing images (HSRRSIs) tend to cause large differences in the background information of bridges from the images, including problems of difficult detection of multiscale bridges, leakage
Mulan Qiu, Liang Huang, Bo-Hui Tang
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